Solutions · Forward deployed AI engineering

Your AI engineering team.
Embedded in your business.

Artificial intelligence can improve how businesses operate, but turning AI technology into reliable business solutions requires more than selecting a model or purchasing software.

Famitek's Forward Deployed AI Engineering service helps organizations design, integrate, and deploy AI solutions directly within their existing business operations. Our engineers work alongside your business and IT teams to understand operational challenges, connect enterprise systems, automate workflows, develop AI agents, and deliver production-ready solutions.

You don't have to replace your existing software or build an entire internal AI engineering department.

The gap

Most enterprise AI never leaves the pilot.

The model is rarely the problem. The distance between a promising demo and a system people rely on every day is — real data, edge cases, permissions, integrations, and the people whose work it changes. That distance is exactly where forward deployed engineers work.

40%+

of agentic AI projects are predicted to be cancelled before the end of 2027.

Gartner · June 2025 · prediction
Failure 01

The demo works. The workflow doesn't.

A model that impresses in a meeting room meets messy data, exceptions and access rules — and quietly stops being used.

Failure 02

The advisors leave. The code doesn't run.

Strategy decks and proofs of concept are handed over with nobody accountable for getting them into production.

Failure 03

Generic tools, specific problems.

Off-the-shelf AI is built for the average company. Your processes, data and customers aren't average.

What it is

What is forward deployed AI engineering?

Forward Deployed AI Engineering is a hands-on technical service in which AI engineers work directly with an organization's teams to implement artificial intelligence within real business workflows.

A Forward Deployed Engineer (FDE) combines software engineering, systems integration, AI development, and business process understanding to turn operational challenges into deployed technology solutions.

Unlike traditional consulting engagements that may end with recommendations, forward deployed engineering emphasizes implementation, testing, integration, and measurable operational results. Famitek applies this approach to enterprise AI transformation, helping businesses put AI into operation within the systems they already use.

What does a forward deployed AI engineer do?

  • Evaluates business processes and identifies opportunities for AI automation.
  • Connects AI applications to ERP, CRM, payroll, document management, and other enterprise systems.
  • Develops AI agents that can perform approved business tasks.
  • Implements document processing, data extraction, and intelligent workflow automation.
  • Designs secure integrations, API connections, and data pipelines.
  • Tests AI performance, reliability, and exception handling.
  • Deploys AI applications into production environments.
  • Establishes monitoring, human oversight, and ongoing improvement processes.

The objective is to deliver working capabilities that produce measurable value for the organization.

Unlike anyone else

We don't start from a blank page. We start from seven running platforms.

Every engagement can draw on components already in production across Famitek's own products. Your project inherits them on day one, and our engineers spend their time on the part only your business needs.

From CVerify
Identity & proctoring

ID matching, live observed sessions, evidence-grade scoring.

From Skylynx
Voice & telephony

Phone agents, routing, scheduling and accountable handoffs.

From KlaroAgents
Agent orchestration

Multi-agent decisions within guardrails, with local and private deployment options.

From AEOstate
AI-engine evaluation

Testing and monitoring how five AI engines answer about you.

From DuoSkill
Assessment engines

Dynamic, role-specific tests and weighted multi-factor scoring.

From CrossSkilled
Learning & readiness

Courses generated from your documents; readiness analytics.

From AirCM
Content & campaigns

Generation, multi-channel publishing and lead nurture.

= Your system
What already works, plus what only you need.

Assembled, extended and deployed by the engineers who built the parts.

  1. 01

    Month six on day one

    Authentication, billing, voice, evaluations, audit trails — the months of groundwork most projects begin with are already built and running.

  2. 02

    Product engineers, not consultants

    The people we deploy build and operate our own platforms. They write the code and stay until it works in your operations.

  3. 03

    Your systems stay in place

    We integrate with the ERP, CRM and identity systems you already run instead of asking you to replace them.

  4. 04

    Measured against a baseline

    Success criteria are defined with you before implementation, and results are evaluated against a documented baseline — not general claims about AI productivity.

  5. 05

    Governed from the start

    Role-based access, least-privilege permissions, audit logging and human approval for sensitive actions are designed in, not added later.

  6. 06

    A path to a product

    If what we build for you would serve your whole industry, we can turn it into a platform — and you can sell it through our charter program.

Where we start

Which business problems can forward deployed AI engineers solve?

Famitek focuses on practical AI implementation in business operations where repetitive work, disconnected software, or manual decision-making creates unnecessary cost and delays.

Financial operations and accounting automation

AI can support financial teams by automating repetitive data-processing tasks, validating financial information, detecting exceptions, and preparing information for human review — including budget consolidation, reconciliation support, variance analysis, report preparation, and the processing of ERP and payroll extracts.

Healthcare administrative workflow automation

Hospitals, physician groups and Federally Qualified Health Centers (FQHCs) often run several administrative systems. Forward deployed engineering can connect financial, operational and administrative workflows without changing clinical systems — consolidating financial reports across facilities, processing administrative documents, and analyzing aggregated operational metrics.

Projects involving protected health information require additional privacy, security, contractual, and regulatory review.

Intelligent document processing

AI-assisted document workflows extract and validate information from invoices, spreadsheets, contracts, forms, and other business records. They classify documents, identify missing information, route exceptions for review, and transfer approved data into business applications.

Enterprise AI agents and workflow automation

Enterprise AI agents retrieve approved information, interact with business applications, perform defined tasks, and request human approval when an action requires oversight — for internal support assistants, customer service automation, employee knowledge access, and administrative task processing.

Legacy software integration and modernization

Many businesses depend on older software that remains operationally important but lacks modern automation. Forward deployed engineering extends those systems through APIs, integration services, controlled AI tools, and workflow orchestration instead of an expensive replacement.

The one nobody has built yet

Bring us the problem that has no product. That is exactly what forward deployed engineers are for.

Your existing software

Can AI be integrated into existing enterprise software?

Yes. Enterprise AI can often be integrated with existing applications without replacing the systems that already run the business.

Depending on supported interfaces and authorized access, projects may involve systems such as Microsoft Dynamics GP, Dayforce, Microsoft 365, Microsoft Entra ID, CRM platforms, SQL databases, document repositories, and healthcare administrative reporting systems.

Famitek evaluates each integration based on available APIs, data formats, access controls, existing infrastructure, and business requirements. The goal is to preserve existing technology investments while introducing new capabilities where they provide business value.

Systems we connect
  • Microsoft Dynamics GP
  • Dayforce
  • Microsoft 365
  • Microsoft Entra ID
  • CRM platforms
  • SQL databases
  • Document repositories
  • Healthcare administrative reporting
Integration approaches
  • REST APIs
  • Event-driven workflows
  • Secure file exchange
  • Database interfaces
  • Approved agent tools (MCP)

How an engagement runs

Five stages from your problem to a system people use.

  1. 01

    Business process discovery

    Engineers work with business and technology teams to understand current workflows, manual activities, operational bottlenecks, and available systems. The team identifies measurable opportunities and establishes baseline performance indicators.

  2. 02

    Solution architecture and planning

    Famitek evaluates technical feasibility, integration requirements, security controls, the deployment environment, and the expected business impact. This stage produces an implementation scope, architecture, success criteria, and delivery plan.

  3. 03

    AI development and systems integration

    Engineers develop and integrate the required automation, AI agents, data processing workflows, and application interfaces — designed around your approved systems, permissions, and operational processes.

  4. 04

    Testing, validation, and deployment

    Solutions are tested against representative business scenarios, failure conditions, and integration requirements before production release. Human approval controls, access restrictions, monitoring, and auditability are built in as agreed.

  5. 05

    Operational support and improvement

    After deployment, Famitek can provide ongoing engineering support, performance monitoring, maintenance, and additional workflow development under an agreed support arrangement — so successful implementations stay maintainable and expandable.

How it compares

How is forward deployed AI engineering different from traditional AI consulting?

Service modelPrimary focusTypical deliverable
AI consultingStrategy, planning, technology selectionAssessment and roadmap
Software staff augmentationAdditional engineering capacityEngineering work directed by the customer
Forward deployed AI engineeringDirect implementation of AI in business operationsIntegrated, tested, and deployed workflows

Forward deployed AI engineering combines customer-facing problem solving with hands-on technical execution. It is particularly useful when an organization understands the business problem but needs specialized engineering expertise to design, connect, validate, and operate an AI solution.

Who it is for

Who benefits from forward deployed AI engineering?

Organizations that need hands-on AI implementation but do not have all the necessary resources internally.

Healthcare organizations

Seeking AI automation for financial, administrative, and operational workflows.

Mid-sized enterprises

Looking to implement AI without establishing a large internal AI engineering department.

Microsoft-based organizations

Seeking AI integration with existing business software, identity systems, and cloud infrastructure.

Multi-location businesses

Needing consistent automation, reporting, and workflow coordination across facilities.

IT departments

Requiring specialized AI engineering support alongside existing internal teams.

Trust

Security, data privacy and AI governance.

Enterprise AI deployment requires safeguards appropriate to the organization's applications, users, data, and regulatory environment. Famitek designs security and governance into each engagement, including role-based access, least-privilege permissions, data isolation, encryption, audit logging, approval workflows, and operational monitoring.

AI agents that perform sensitive or consequential actions should operate within explicitly authorized permissions and defined human oversight controls. Deployment may use your existing cloud infrastructure, a private environment, or another agreed hosting model, subject to technical feasibility and security requirements.

How success is measured

Famitek defines success criteria with the customer before implementation.

Depending on the workflow, useful measures include processing time, manual staff hours, error rates, exception-handling accuracy, operational throughput, system adoption, and cost per transaction. Results are evaluated against a documented baseline rather than general claims about AI productivity.

Ways to engage

Start small, or bring us in for the long haul.

Assessment

AI opportunity assessment

A focused engagement to evaluate existing workflows, identify practical AI opportunities, review integration requirements, and develop a prioritized implementation roadmap.

Project

AI implementation project

A defined engineering engagement to develop, integrate, test, and deploy a specific AI-enabled workflow or business capability.

Embedded

Embedded AI engineering

Ongoing forward deployed engineering capacity for organizations that need continued AI integration, operational support, and expansion across business processes.

Project scope, delivery milestones, staffing, and pricing are established through a written agreement.

Questions

Frequently asked questions about forward deployed AI engineering.

What is a forward deployed AI engineer?
A technical specialist who works directly with a customer's teams to develop, integrate, test, and deploy AI solutions for specific business operations. The role combines hands-on software engineering with an understanding of the customer's systems and business workflows.
Does a company need an internal AI team to use Famitek's service?
No. The service is intended to help organizations implement AI without recruiting an entire specialized AI engineering department. Existing IT teams can participate in architecture, integration, governance, and operational handover.
Can Famitek implement AI without replacing our ERP or CRM?
Yes, when suitable integration interfaces are available. Famitek evaluates existing software and identifies ways to add AI capabilities through APIs, data exchange, automation services, and controlled application integrations.
Does enterprise AI require sending company data to public AI services?
Not necessarily. AI solutions may use cloud-based services, private deployments, or self-hosted models, depending on technical requirements and available infrastructure. The approach is selected after evaluating data sensitivity, model capabilities, costs, and security obligations.
Can forward deployed engineers work with Microsoft Azure and Entra ID?
Yes. Azure infrastructure and Microsoft Entra ID can be part of an enterprise AI deployment architecture, including identity federation, access control, authentication, and application integration. The specific configuration depends on your environment and approved requirements.
How much does forward deployed AI engineering cost?
It depends on the project's complexity, the number of systems being integrated, data and security requirements, engineering resources, and support needs. Famitek can scope a fixed-fee assessment, a defined implementation project, or an ongoing embedded engineering engagement.
How do you prevent enterprise AI agents from making unauthorized changes?
AI agents operate with limited permissions, validated tools, audit logging, and approval requirements for sensitive actions. Famitek evaluates these controls during solution design and tests relevant failure scenarios before deploying approved workflows.
Who owns the business data and the delivered AI solution?
The customer retains ownership of its business data. Rights to custom-developed code, configurations, reusable engineering components, and other deliverables are defined in the applicable service agreement.
Can what you build for us become a product?
If it would serve others in your industry, we can productize it with you — and you can take it to market through the charter program.

Start with one business problem.
We'll bring the engineers.

You do not need to transform your entire organization at once. Start with one workflow that consumes staff time, introduces errors, or depends on disconnected systems.

Famitek can help evaluate the opportunity, define measurable success criteria, and establish the engineering approach needed to put AI into operation.